The goal of this repository is to show how to develop extensions for JupyterLab, presented as short tutorial series.
To get started:
# clone the repository git clone https://github.com/jupyterlab/extension-examples.git jupyterlab-extension-examples # go to the extension examples folder cd jupyterlab-extension-examples # create a new environment conda env create # activate the environment conda activate jupyterlab-extension-examples # go to the hello world example cd hello-world # install the extension in editable mode python -m pip install -e . # install your development version of the extension with JupyterLab jupyter labextension develop . --overwrite # build the TypeScript source after making changes jlpm run build # start JupyterLab jupyter lab
The examples currently target JupyterLab 3.1 or later.
If you would like to use the examples with JupyterLab 2.x, check out the 2.x branch.
If you would like to use the examples with JupyterLab 1.x, check out the 1.x branch.
Note that the 1.x and 2.x branches are not updated anymore.
You may find it easier to learn how to create extensions by examples, instead of going through the documentation.
Start with the Hello World and then jump to the topic you are interested in.
You can expect from each example:
We have structured the examples based on the extension points. Browse the previews below or skip them and jump directly to the sections for developers.
You are welcome to open any issue or pull request.
Extend the main app with a Command.
Register commands in the Command Palette.
Customize tab autocomplete data sources.
Put widgets at the top of a main JupyterLab area widget.
Add a new button to an existent context menu.
Create a new log console.
Display a Datagrid as a Lumino Widget.
Create new documents and make them collaborative.
Set up the development environment and print to the console.
Interact with a kernel from an extension.
Render kernel messages in an OuputArea.
Start your extension from the Launcher.
Send a log message to the log console.
Add a Menu to the main app.
Create a React.js Widget in JupyterLab.
Create a minimal extension with backend (i.e. server) and frontend parts.
Create and use new Settings for your extension.
Use Signals to allow Widgets communicate with each others.
Use State persistence in an extension.
Add a new button to the notebook toolbar.
Add a new Widget element to the main window.
Writing an extension requires basic knowledge of JavaScript, Typescript and potentially Python.
Don't be scared of Typescript, even if you never coded in TypeScript before you touch JupyterLab you may find it easier to understand than pure JavaScript if you have a basic understanding of object oriented programming and types.
These examples are developed and tested on top of JupyterLab. You can create a conda environment to get started after cloning this repository.
conda env create && \ conda activate jupyterlab-extension-examples
Develop and Use the Examples Build and Install all Examples at onceThe previous command will use the environment.yaml file as requirements for the environment.
jlpm jlpm build-ext jlpm install-py jlpm install-ext jupyter lab
To rebuild all the extensions:
To clean the lib folders:
Build and Install one ExampleGo to the example directory you want to install, e.g. cd ./hello-world, and run the following commands:
pip install -e . jupyter labextension develop . --overwrite
Rebuild the extension:
You can now start JupyterLab and check if your extension is working fine:
If you want to develop and iterate on the code, you will need to open 2 terminals.
In terminal 1, go to the extension folder and run the following:
Then in terminal 2, start JupyterLab with the watch flag:
From there, you can change your extension source code, it will be recompiled, and you can refresh your browser to see your changes.
We are using embedme to embed code snippets into the markdown READMEs. If you make changes to the source code, ensure you update the README and run jlpm embedme from the root of the repository to regenerate the READMEs.
The examples are automatically tested for:
python -m jupyterlab.browser_checkui-tests subfolder within each example. This is possible thanks to a tool called playwright.Once your extension is published on pypi.org (outside of this scope), you can install it with the following command:
pip install <published_extension>
JupyterLab can be used as a platform to combine existing data-science components into a new powerful application that can be deployed remotely to many users. Some of the higher level components that can be used are text editors, terminals, notebooks, interactive widgets, filebrowser, renderers for different file formats that provide access to an enormous ecosystem of libraries from different languages.
Complementary to these examples, you can rely on the official JupyterLab documentation.
We would like to thank MMesch for initiating this work, as well as everyone else who contributed!
Community Guidelines and Code of ConductThis examples repository is a Jupyter project and follows the Jupyter Community Guides and Code of Conduct.
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